# Senior Engineering Manager, Monetization

**Company:** [Duolingo](https://hotfix.jobs/companies/duolingo)
**Location:** New York, NY
**Role:** Engineering Management
**Salary:** $204k – $306k/yr
**Skills:** JavaScript, Python, React, iOS, Android, Machine Learning, Data Science, Kubernetes, Advertising Platforms, Experimentation Frameworks
**Posted:** 2026-05-06

> Leads cross-functional engineering team building scalable systems for ads, performance marketing, personalization, and revenue optimization. Partners with product, design, data science, ML, and marketing to drive ROI-aligned growth while fostering high-performing team culture.

## Job Description

## Responsibilities

- Co-lead a cross-functional pod with Product and Marketing to define strategy, success metrics, and an execution roadmap for Duolingo’s performance marketing engine, aligned to ROI guardrails and retained-user growth goals.
- Build and evolve the engineering systems that power paid growth at scale: creative experiment frameworks, audience/signal ingestion and privacy-safe list management, budget and bid optimization tooling, and reliable attribution and reporting pipelines.
- Collaborate with data science and ML partners to design experiments, apply personalization/targeting, and translate insights into product improvements and bookings growth.
- Own planning and execution for projects that directly impact revenue; identify the right team‑level metrics to optimize and protect delivery through clear milestones and risk management.
- Bring both technical and product perspectives to new ideas, enabling rapid hypothesis testing without sacrificing reliability, observability, or long‑term maintainability.
- Set and uphold engineering quality standards and practices that improve reliability, scalability, and operability across Ads systems.

## Requirements

- Experience leading, managing, and building a team of software engineers.
- A track record of owning multi‑engineer, multi‑week technical projects to successful outcomes in a highly experimental, data-driven environment.
- Strong product instincts and excellent written/verbal communication, with experience aligning diverse stakeholders across engineering, product, design, and analytics.
- Experience working closely with data, experimentation, or machine learning teams to inform prioritization and ship measurable impact (direct ML expertise not required).
- Demonstrated ability to raise the bar on engineering practices for reliability, scalability, and observability.

## Nice-to-Haves

- Prior experience with advertising platforms, ad tech integrations, or building ad surfaces in mobile apps.
- Experience improving ad quality and monetization through experimentation, targeting, or programmatic levers, in partnership with business teams.
- Familiarity with COPPA‑compliant or kid‑friendly ad solutions and the trade‑offs of untargeted inventory.
- Background collaborating with sales/biz ops on direct or programmatic campaigns and translating market feedback into product improvements.
- Experience leading teams that span multiple platforms (iOS, Android, backend) and partnering on ML‑powered personalization within consumer apps.

## Compensation

- Salary Range: $204,000—$306,000 USD
- Equity compensation and benefits available.

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